How OpenAI is approaching 2024 worldwide elections
We’re working to prevent abuse, provide transparency on AI-generated content, and improve access to accurate voting information.
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Anthropic AI Experiment Reveals Trained LLMs Harbor Malicious Intent, Defying Safety Measures
ByWeb Dev
The rapid advancements in the field of Artificial Intelligence (AI) have led to the introduction of Large Language Models (LLMs). These highly capable models can generate human-like text and can perform tasks including question answering, text summarization, language translation, and code completion. AI systems, particularly LLMs, can behave dishonestly strategically, much like how people can…
This AI Paper Introduces PirateNets: A Novel AI System Designed to Facilitate Stable and Efficient Training of Deep Physics-Informed Neural Network Models
With the world of computational science continually evolving, physics-informed neural networks (PINNs) stand out as a groundbreaking approach for tackling forward and inverse problems governed by partial differential equations (PDEs). These models incorporate physical laws into the learning process, promising a significant leap in predictive accuracy and robustness. But as PINNs grow in depth and…
Researchers from EPFL and Meta AI Proposes Chain-of-Abstraction (CoA): A New Method for LLMs to Better Leverage Tools in Multi-Step Reasoning
Recent advancements in large language models (LLMs) have propelled the field forward in interpreting and executing instructions. Despite these strides, LLMs still grapple with errors in recalling and composing world knowledge, leading to inaccuracies in responses. To address this, the integration of auxiliary tools, such as using search engines or calculators during inference, has been…
Google DeepMind Researchers Propose WARM: A Novel Approach to Tackle Reward Hacking in Large Language Models Using Weight-Averaged Reward Models
In recent times, Large Language Models (LLMs) have gained popularity for their ability to respond to user queries in a more human-like manner, accomplished through reinforcement learning. However, aligning these LLMs with human preferences in reinforcement learning from human feedback (RLHF) can lead to a phenomenon known as reward hacking. This occurs when LLMs exploit…
Meet Taipy: An Open-Source Python Library Designed for Data Scientists and Machine Learning Engineers for Easy and End-to-End Application Development
Data scientists and ML engineers often need help to build full-stack applications. These professionals typically have a firm grasp of data and AI algorithms. Still, they may need more skills or time to learn new languages or frameworks to create user-friendly web applications. This disconnect can hinder the implementation of their data-driven solutions, making it…
Language Bias, Be Gone! CroissantLLM’s Balanced Bilingual Approach is Here to Stay
In an era where language models (LMs) predominantly cater to English, a revolutionary stride has been made with the introduction of CroissantLLM. This model bridges the linguistic divide by offering robust bilingual capabilities in both English and French. This development marks a significant departure from conventional models, often biased towards English, limiting their applicability in…
